Background:Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking.Methods:We investigated the value of using 77 breast cancer-associated single nucleotide polymorphisms (SNPs) for risk stratification, in a study of 33 673 breast cancer cases and 33 381 control women of European origin. We tested all possible pair-wise multiplicative interactions and constructed a 77-SNP polygenic risk score (PRS) for breast cancer overall and by estrogen receptor (ER) status. Absolute risks of breast cancer by PRS were derived from relative risk estimates and UK incidence and mortality rates.Results:There was no strong evidence for departure from a multiplicative model for any SNP pair. Women in the highest 1% of the PRS had a three-fold increased risk of developing breast cancer compared with women in the middle quintile (odds ratio [OR] = 3.36, 95% confidence interval [CI] = 2.95 to 3.83). The ORs for ER-positive and ER-negative disease were 3.73 (95% CI = 3.24 to 4.30) and 2.80 (95% CI = 2.26 to 3.46), respectively. Lifetime risk of breast cancer for women in the lowest and highest quintiles of the PRS were 5.2% and 16.6% for a woman without family history, and 8.6% and 24.4% for a woman with a first-degree family history of breast cancer.Conclusions:The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer. The observed level of risk discrimination could inform targeted screening and prevention strategies. Further discrimination may be achievable through combining the PRS with lifestyle/environmental factors, although these were not considered in this report.
Bloom's syndrome is a rare autosomal recessive chromosomal instability disorder with a high incidence of various types of neoplasia, including breast cancer. Whether monoallelic BLM mutations predispose to breast cancer has been a long-standing question. A nonsense mutation, p.Q548X, has recently been associated with an increased risk for breast cancer in a Russian case-control study. In the present work, we have investigated the prevalence of this Slavic BLM founder mutation in a total of 3,188 breast cancer cases and 2,458 controls from Bashkortostan, Belarus, Ukraine, and Kazakhstan. The p.Q548X allele was most frequent in Russian patients (0.8 %) but was also prevalent in Byelorussian and Ukrainian patients (0.5 and 0.6 %, respectively), whereas it was absent in Altaic or other non-European subpopulations. In a combined analysis of our four case-control series, the p.Q548X mutation was significantly associated with breast cancer (Mantel-Haenszel OR 5.1, 95 % CI 1.2; 21.9, p = 0.03). A meta-analysis with the previous study from the St. Petersburg area corroborates the association (OR 5.7, 95 % CI 2.0; 15.9, p = 3.7 × 10(-4)). A meta-analysis for all published truncating mutations further supports the association of BLM with breast cancer, with an estimated two- to five-fold increase in risk (OR 3.3, 95 %CI 1.9; 5.6, p = 1.9 × 10(-5)). Altogether, these data indicate that BLM is not only a gene for Bloom's syndrome but also might represent a breast cancer susceptibility gene.
Inherited mutations in PALB2 are known to be associated with increased breast cancer risk. We aimed to investigate the prevalence and risk association of a recurrent PALB2 mutation, c.509_510delGA, among 3,924 unselected breast cancer patients from Belarus, Russia or Germany. High-resolution melting analyses and direct sequencing identified the c.509_510delGA allele in 3/1,008 (0.3 %) German breast cancer patients, 2/994 (0.2 %) Russian breast cancer patients and 5/1,922 (0.3 %) Byelorussian breast cancer patients. Breast tumours were mainly estrogen receptor positive and included both ductal and lobular histology. Only one of the ten patients had a first-degree family history of breast cancer. The mutation was not detected in 2,827 healthy females from the same populations, confirming the association of PALB2*c.509_510delGA with breast cancer risk (p = 0.007). These data indicate that the PALB2*c.509_510delGA mutation is prevalent in about 1 in 400 breast cancer patients from Central and Eastern Europe, and the low occurrence of familial clustering is consistent with a moderate penetrance of this mutation.
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